Enterprise Application Transformation Patterns
We provide a repeatable approach to modernizing enterprise application landscapes using proven transformation patterns and standardized deliverables (“Quants”). This includes pattern selection, stage-gate evidence models, monolith decomposition strategies, and portfolio rationalization. The outcome is faster modernization with less chaos, clearer sequencing, and scalable governance across teams.
Transformation Pattern selection workshop
We provide a repeatable approach to modernizing enterprise application landscapes using proven transformation patterns and standardized deliverables (“Quants”). This includes pattern selection, stage-gate evidence models, monolith decomposition strategies, and portfolio rationalization. The outcome is faster modernization with less chaos, clearer sequencing, and scalable governance across teams.
Customer value
Correct strategy per app/domain; avoids one-size-fits-all.
Main deliverables
Pattern decision per area, rationale, scope boundaries, sequencing hypothesis, risks.
Quant-based planning model
A standardized delivery unit model (“quants”) enabling comparable sizing and scalable execution across teams. Defines deliverable types, sizing logic, throughput measures, and consistent governance views.
Customer value
Comparable sizing and predictable execution across teams.
Main deliverables
Quant definitions, sizing logic, throughput metrics, governance views.
Evidence-based stage-gates
A defined set of gates and evidence packs that control transformation risk. Each gate forces clarity on feasibility, architecture, scope, testability, and readiness so decisions are based on proof.
Customer value
Fewer false starts; better executive control and clarity.
Main deliverables
Gate model, evidence definitions, owner/RASCI, templates, audit-ready trail.
Monolith decomposition program design
A controlled approach to break down a large legacy system without breaking business. Uses domain ownership, sequencing, strangler patterns, and integration strategy to balance speed with safety.
Customer value
Safe modernization without breaking business continuity.
Main deliverables
Decomposition strategy, domain ownership map, strangler plan, dependency plan, release approach.
Legacy portfolio rationalization
A decision and execution model for reducing application sprawl and technical debt. Classifies systems by value/cost/risk and produces an actionable roadmap (retire/replace/merge/modernize).
Customer value
Reduced cost/complexity; higher agility and lower risk.
Main deliverables
App inventory, decision matrix, keep/kill/modernize plan, roadmap, business case summary.
